{"as_of":"2026-08-06T11:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9e7a17afe3850db9358809ea80d6ef5ad6f03c2118787b9bae93ba507b516f6c","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T13:52:28.731151Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.18975/citation-record","integrity":"/paper/2607.18975/integrity","json":"/paper/2607.18975/citation-record.json","paper":"/paper/2607.18975"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.562040Z","title":"Mem-Gallery: Benchmarking multimodal long-term conversational memory for MLLM agents.arXiv preprint arXiv:2601.03515, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.562040Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:400a2821d0275a00170a27fc49ec4c671d6a1ab585cebea5f215d5abaa6e7a23","observation_id":"0aba0e20-fd2e-4b80-b0c6-7b8ec913748c","resolution":{"observed_at":"2026-08-01T13:52:28.562040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.04514","last_updated":"2026-04-06T08:27:26Z","snapshot_observed_at":"2026-07-06T22:53:29.118925Z","submitted_at":"2026-04-06T08:27:26Z","title":"SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.04514","snapshot_observed_at":"2026-08-01T13:52:28.566252Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.566252Z"},"links":{"cited_paper":"/paper/2604.04514","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:20d757d2cb215f9a10fb50109b578ca696892aab88f3aa8f04d1368febf02910","observation_id":"06173249-1ab1-4872-9a76-c5e382e49cca","resolution":{"observed_at":"2026-08-01T13:52:28.566252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.570043Z","title":"Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.570043Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:c4682a94265b6de4ca389ad056d3c28838b99e293dd9d5a191f5cc4ae039897e","observation_id":"08a113e5-1e23-4a31-8ced-7bdf29aaa4e6","resolution":{"observed_at":"2026-08-01T13:52:28.570043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.06527","last_updated":"2026-05-07T16:31:15Z","snapshot_observed_at":"2026-07-06T23:19:00.794334Z","submitted_at":"2026-05-07T16:31:15Z","title":"STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.06527","snapshot_observed_at":"2026-08-01T13:52:28.573373Z","title":"STALE: Can LLM agents know when their memories are no longer valid?arXiv preprint arXiv:2605.06527, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.573373Z"},"links":{"cited_paper":"/paper/2605.06527","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:430727232e359da74b63a24b4089a6d412ccd4ab657986096ac133ea8be10646","observation_id":"82bf9fc3-ee00-4700-a37b-b25ddcc47a74","resolution":{"observed_at":"2026-08-01T13:52:28.573373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.14249","last_updated":"2026-07-23T03:12:37Z","snapshot_observed_at":"2026-08-05T08:20:08.381254Z","submitted_at":"2026-06-12T08:27:11Z","title":"HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.14249","snapshot_observed_at":"2026-08-01T13:52:28.576822Z","title":"HarnessX: A composable, adaptive, and evolvable agent harness foundry.arXiv preprint arXiv:2606.14249, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.576822Z"},"links":{"cited_paper":"/paper/2606.14249","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:627764c5fc9efe365ca33a53bd1955e7f5fd1a0cdc72abbbce31b40f24777632","observation_id":"9f6d4c4d-9c5a-4de4-97c4-290efea9431f","resolution":{"observed_at":"2026-08-01T13:52:28.576822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.04315","last_updated":"2026-06-03T00:42:49Z","snapshot_observed_at":"2026-08-02T11:06:18.246304Z","submitted_at":"2026-06-03T00:42:49Z","title":"Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.04315","snapshot_observed_at":"2026-08-01T13:52:28.580360Z","title":"Exploring cross-scenario generality of agentic memory systems: Diagnostics and a strong baseline","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.580360Z"},"links":{"cited_paper":"/paper/2606.04315","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:ece29408baebfa61a2be1f660e6fabb7e966610678d84a9f131508c2a949e313","observation_id":"b75cc33d-5da6-41f9-934b-7c4a77e9456e","resolution":{"observed_at":"2026-08-01T13:52:28.580360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19413","last_updated":"2025-04-28T01:46:35Z","snapshot_observed_at":"2026-08-02T07:32:11.339534Z","submitted_at":"2025-04-28T01:46:35Z","title":"Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.19413","snapshot_observed_at":"2026-08-01T13:52:28.584469Z","title":"Mem0: Building production- ready AI agents with scalable long-term memory.arXiv preprint arXiv:2504.19413, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.584469Z"},"links":{"cited_paper":"/paper/2504.19413","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:0f4d304ae8220afd93bba40a424e45a8a3fb0d7640012d777c1dc6c44671c3de","observation_id":"0ba6f0ad-0c7e-4833-b2e6-3156b58d65b4","resolution":{"observed_at":"2026-08-01T13:52:28.584469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.22025","last_updated":"2026-06-09T23:57:32Z","snapshot_observed_at":"2026-08-05T13:58:45.670760Z","submitted_at":"2026-01-29T17:32:34Z","title":"When Generic Prompt Improvements Hurt: Evaluation-Driven Iteration for LLM Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.22025","snapshot_observed_at":"2026-08-01T13:52:28.587806Z","title":"When generic prompt improvements hurt: Evaluation-driven iteration for LLM applications","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.587806Z"},"links":{"cited_paper":"/paper/2601.22025","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:00c0e882c47748f742bbb55e16d21703c3f1b5ff204e7f9c94ac8a41e6b58d79","observation_id":"56e0dc3f-31bb-4b50-9c3b-b8108b784197","resolution":{"observed_at":"2026-08-01T13:52:28.587806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.18866","last_updated":"2026-02-28T11:55:50Z","snapshot_observed_at":"2026-07-06T22:33:43.999976Z","submitted_at":"2025-10-21T17:58:17Z","title":"LightMem: Lightweight and Efficient Memory-Augmented Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.18866","snapshot_observed_at":"2026-08-01T13:52:28.591292Z","title":"LightMem: Lightweight and efficient memory-augmented generation.arXiv preprint arXiv:2510.18866, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.591292Z"},"links":{"cited_paper":"/paper/2510.18866","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:aa87dcdba2e6c4102868467323de6f190196a861c7d9534704d22291cdb3e1aa","observation_id":"a7f92b7f-3f7d-4861-a790-1f6f1bfc2e43","resolution":{"observed_at":"2026-08-01T13:52:28.591292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.09483","last_updated":"2026-06-08T13:39:24Z","snapshot_observed_at":"2026-08-03T20:53:37.275005Z","submitted_at":"2026-06-08T13:39:24Z","title":"Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.09483","snapshot_observed_at":"2026-08-01T13:52:28.594722Z","title":"Memory beyond recall: A dual-process cognitive memory system for self-evolving LLM agents.arXiv preprint arXiv:2606.09483, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.594722Z"},"links":{"cited_paper":"/paper/2606.09483","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:1cd490a0759f7f5114cacb940abaf3917b918e0f09e22c983f1e3afdb68a5a7b","observation_id":"0d6d2135-f309-47bb-8ba9-66340238288d","resolution":{"observed_at":"2026-08-01T13:52:28.594722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.598000Z","title":"M2A: Multimodal memory agent with dual-layer hybrid memory for long-term personalized interactions.arXiv preprint arXiv:2602.07624, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.598000Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:b5042fb35cb578a5c4dd859a31b262c9b447a3dfa2618463ac95bbc6e72078e4","observation_id":"88f95c8e-a243-4dcb-9e95-7c6be2797fb9","resolution":{"observed_at":"2026-08-01T13:52:28.598000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.601303Z","title":"MemoryArena: Benchmarking agent memory in interdependent multi-session agentic tasks.arXiv preprint arXiv:2602.16313, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.601303Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:6699282855bf250ac8d9d61c5462e31ea9591436f57df284967085d8e8ed30fd","observation_id":"fac1768e-f330-495a-8829-f62ff5cb2d9d","resolution":{"observed_at":"2026-08-01T13:52:28.601303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20352","last_updated":"2026-04-15T14:20:46Z","snapshot_observed_at":"2026-07-06T22:43:17.026472Z","submitted_at":"2026-01-28T08:09:49Z","title":"AMA: Adaptive Memory via Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.20352","snapshot_observed_at":"2026-08-01T13:52:28.604285Z","title":"AMA: Adaptive memory via multi-agent collaboration.arXiv preprint arXiv:2601.20352, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.604285Z"},"links":{"cited_paper":"/paper/2601.20352","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:49c619b997447767b956adc8ffbe905a7570e23413a936f73f24c2eed8164ea3","observation_id":"270646e8-9a59-45ee-b0e6-633bd17093a0","resolution":{"observed_at":"2026-08-01T13:52:28.604285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.07402","last_updated":"2026-06-05T15:44:18Z","snapshot_observed_at":"2026-08-01T17:14:12.334061Z","submitted_at":"2026-06-05T15:44:18Z","title":"M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.07402","snapshot_observed_at":"2026-08-01T13:52:28.607680Z","title":"M 3Exam: Benchmarking multimodal memory for realistic user-agent interactions","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.607680Z"},"links":{"cited_paper":"/paper/2606.07402","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:f2375feda52f4c274d3eeee387cde786465f50da92f8f3ef0c79a459919033ef","observation_id":"04a793de-e04f-4d40-82fd-53e9a46de1aa","resolution":{"observed_at":"2026-08-01T13:52:28.607680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.611176Z","title":"PersonaMem-V2: Towards personalized intelligence via learning implicit user personas and agentic memory.arXiv preprint arXiv:2512.06688, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.611176Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:d9cf1099d75b6e0d81dee26f429c5492a10c7b2bafc7547debc30f723737460b","observation_id":"b6c7d2ba-8dbb-47fd-b19f-f87e0b20b326","resolution":{"observed_at":"2026-08-01T13:52:28.611176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.11768","last_updated":"2026-05-19T14:48:44Z","snapshot_observed_at":"2026-08-01T20:08:55.980073Z","submitted_at":"2026-03-12T10:16:52Z","title":"Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.11768","snapshot_observed_at":"2026-08-01T13:52:28.614474Z","title":"Governing evolving memory in LLM agents: Risks, mechanisms, and the stability and safety governed memory (SSGM) framework.arXiv preprint arXiv:2603.11768, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.614474Z"},"links":{"cited_paper":"/paper/2603.11768","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:04f201f227cb903b3a8bc22c11bb796506197d597de678a76f08259de90cf99f","observation_id":"f489da7d-62b0-4a05-bce6-52a741a7c58d","resolution":{"observed_at":"2026-08-01T13:52:28.614474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.05242","last_updated":"2026-05-03T19:13:11Z","snapshot_observed_at":"2026-08-03T03:41:08.272399Z","submitted_at":"2026-05-03T19:13:11Z","title":"Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.05242","snapshot_observed_at":"2026-08-01T13:52:28.617859Z","title":"Beyond semantic similarity: Rethinking retrieval for agentic search via direct corpus interaction.arXiv preprint arXiv:2605.05242, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.617859Z"},"links":{"cited_paper":"/paper/2605.05242","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:3a99df5d131fd538aa4d4330c58077ff042e4075bfbace1d0d04312aa3165099","observation_id":"053dcec1-d832-4014-993d-3e7e367a8305","resolution":{"observed_at":"2026-08-01T13:52:28.617859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.16548","last_updated":"2026-06-11T04:00:49Z","snapshot_observed_at":"2026-07-12T19:36:08.150963Z","submitted_at":"2026-04-17T06:28:22Z","title":"A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.16548","snapshot_observed_at":"2026-08-01T13:52:28.621202Z","title":"A survey on long-term memory security in LLM agents: Attacks, defenses, and governance across the memory lifecycle","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.621202Z"},"links":{"cited_paper":"/paper/2604.16548","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:7d6da3b1da3836c43105c9704edda2d903145975e7b859c4a9c1ebc8807d7f4a","observation_id":"c9ca59c1-b990-4ee4-bc90-be7feb5b74ff","resolution":{"observed_at":"2026-08-01T13:52:28.621202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.29341","last_updated":"2026-06-01T07:01:55Z","snapshot_observed_at":"2026-07-06T23:38:46.361360Z","submitted_at":"2026-05-28T04:27:20Z","title":"WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.29341","snapshot_observed_at":"2026-08-01T13:52:28.624654Z","title":"WorldMemArena: Evaluating multimodal agent memory through action-world interaction","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.624654Z"},"links":{"cited_paper":"/paper/2605.29341","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:0169b838341214d1b6e6b8c81ca6a90b7c13b4fdb0b01e48678bb033a3d651fc","observation_id":"d7f82b2b-1fd2-4bea-824b-11076b089aff","resolution":{"observed_at":"2026-08-01T13:52:28.624654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.13941","last_updated":"2026-05-13T17:12:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-13T17:12:44Z","title":"EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.13941","snapshot_observed_at":"2026-08-01T13:52:28.628246Z","title":"EvolveMem: Self- evolving memory architecture via AutoResearch for LLM agents","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.628246Z"},"links":{"cited_paper":"/paper/2605.13941","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:84a71ccbec3138cae92f7a7dbf6ef6e56c420fe4575a03e93e56b35eb2d5a39a","observation_id":"d57f2b2f-d1b1-496e-9fd0-98837df3cf7e","resolution":{"observed_at":"2026-08-01T13:52:28.628246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.03627","last_updated":"2026-06-02T03:13:58Z","snapshot_observed_at":"2026-08-03T18:48:56.892789Z","submitted_at":"2025-12-03T10:06:14Z","title":"MemVerse: Multimodal Memory for Lifelong Learning Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.03627","snapshot_observed_at":"2026-08-01T13:52:28.631487Z","title":"MemVerse: Multimodal memory for lifelong learning agents.arXiv preprint arXiv:2512.03627, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.631487Z"},"links":{"cited_paper":"/paper/2512.03627","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:8ed9d9a9ad14870d85d3b77ba26c0d775b20928153fa41310ae58e5e18a27d22","observation_id":"d2d903e1-b08c-4d8f-82b0-7cc588e3bfcc","resolution":{"observed_at":"2026-08-01T13:52:28.631487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.634868Z","title":"Hierarchical memory orchestration for personalized persistent agents.arXiv preprint arXiv:2604.01670, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.634868Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:1e3629349a4ee87d5c1c171ace35da6e73d59fe56c9bc645ba04b90428468cb3","observation_id":"283e5297-c867-4f69-8c11-e33d2bfab3f2","resolution":{"observed_at":"2026-08-01T13:52:28.634868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17753","last_updated":"2024-02-27T18:42:31Z","snapshot_observed_at":"2026-08-06T11:15:36.554174Z","submitted_at":"2024-02-27T18:42:31Z","title":"Evaluating Very Long-Term Conversational Memory of LLM Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17753","snapshot_observed_at":"2026-08-01T13:52:28.637883Z","title":"Evalu- ating very long-term conversational memory of LLM agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.637883Z"},"links":{"cited_paper":"/paper/2402.17753","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:36ced3ccd323b4f9c89ae9dd9b8d2cd58718855d87a508668c4cb5555518ccdc","observation_id":"90b1f984-5994-4918-b6cb-bc2db2bcf488","resolution":{"observed_at":"2026-08-01T13:52:28.637883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.12034","last_updated":"2026-04-13T20:22:53Z","snapshot_observed_at":"2026-07-06T23:00:17.634307Z","submitted_at":"2026-04-13T20:22:53Z","title":"Memory as Metabolism: A Design for Companion Knowledge Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.12034","snapshot_observed_at":"2026-08-01T13:52:28.641075Z","title":"Memory as metabolism: A design for companion knowledge systems.arXiv preprint arXiv:2604.12034, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.641075Z"},"links":{"cited_paper":"/paper/2604.12034","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:8ff5280492de0ec6c29aa0929bd9b44894012901cff5fb38c659d4d6cd6b6823","observation_id":"88d3f142-a3c2-4407-ac58-e16c2aa65a76","resolution":{"observed_at":"2026-08-01T13:52:28.641075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.644347Z","title":"ByteRover: Agent-native memory through LLM-curated hierarchical context.arXiv preprint arXiv:2604.01599, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.644347Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:ae300b8e83fb3843a537e626061b7f70e34a86ee03bfdebd48fd0dc6d2080517","observation_id":"93fb6880-0d2c-4531-9367-db1f890c288e","resolution":{"observed_at":"2026-08-01T13:52:28.644347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08560","last_updated":"2024-02-12T18:59:46Z","snapshot_observed_at":"2026-08-03T06:31:15.541423Z","submitted_at":"2023-10-12T17:51:32Z","title":"MemGPT: Towards LLMs as Operating Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08560","snapshot_observed_at":"2026-08-01T13:52:28.647855Z","title":"Patil, Kevin Lin, Sarah Wooders, and Joseph E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.647855Z"},"links":{"cited_paper":"/paper/2310.08560","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:32170ecf6292bef999ad85d8473e39b5eb4ffffc7f74c6b197efd32b6412b7f1","observation_id":"193c385f-dfff-40cd-9875-61b84aa7901d","resolution":{"observed_at":"2026-08-01T13:52:28.647855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.04503","last_updated":"2026-04-19T09:08:36Z","snapshot_observed_at":"2026-07-06T22:53:29.118925Z","submitted_at":"2026-04-06T07:59:52Z","title":"Memory Intelligence Agent","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.04503","snapshot_observed_at":"2026-08-01T13:52:28.651385Z","title":"Memory intelligence agent.arXiv preprint arXiv:2604.04503, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.651385Z"},"links":{"cited_paper":"/paper/2604.04503","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:e53591835ee1575a49f1fd96a9aafa75e832b1145f04ae072dffd9b8e3565b2f","observation_id":"64bbc5c0-4c10-4e1e-8df4-9cbdd529e884","resolution":{"observed_at":"2026-08-01T13:52:28.651385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.14906","last_updated":"2026-05-14T14:41:17Z","snapshot_observed_at":"2026-08-02T09:41:14.453439Z","submitted_at":"2026-05-14T14:41:17Z","title":"MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.14906","snapshot_observed_at":"2026-08-01T13:52:28.654538Z","title":"MemLens: Benchmarking multimodal long-term memory in large vision-language models.arXiv preprint arXiv:2605.14906, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.654538Z"},"links":{"cited_paper":"/paper/2605.14906","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:fdb0080bc8b12d704e54aee93905ccd8a56a8abb4d7bd849dd23226cec545254","observation_id":"56bd7e6b-817b-4d4a-a16d-44d5cec1fa6f","resolution":{"observed_at":"2026-08-01T13:52:28.654538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.14470","last_updated":"2026-06-22T15:44:05Z","snapshot_observed_at":"2026-08-02T13:19:20.832638Z","submitted_at":"2026-06-12T14:02:37Z","title":"GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.14470","snapshot_observed_at":"2026-08-01T13:52:28.657836Z","title":"GitOfThoughts: Version-controlled reasoning and agent memory you can replay, diff, and merge.arXiv preprint arXiv:2606.14470, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.657836Z"},"links":{"cited_paper":"/paper/2606.14470","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:5db4bf72357dbd43e481fdca844d7ec7ffffb6641f9bb4fd0db1b09b4689cae3","observation_id":"98d617bd-577e-410b-8b9a-b60e9e6ccdbe","resolution":{"observed_at":"2026-08-01T13:52:28.657836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.12007","last_updated":"2026-04-13T19:54:14Z","snapshot_observed_at":"2026-07-31T11:19:43.524234Z","submitted_at":"2026-04-13T19:54:14Z","title":"When to Forget: A Memory Governance Primitive","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.12007","snapshot_observed_at":"2026-08-01T13:52:28.660988Z","title":"When to forget: A memory governance primitive.arXiv preprint arXiv:2604.12007, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.660988Z"},"links":{"cited_paper":"/paper/2604.12007","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:57d80594ebae17d9a76377db0f91d4a763d6770fddafe5821163f0e3aa83f33f","observation_id":"ba1cf9ee-e14e-49e1-88e7-ae3e47ffc512","resolution":{"observed_at":"2026-08-01T13:52:28.660988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.664048Z","title":"Introducing the token-efficient memory algorithm.Mem0 Research Blog, apr 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.664048Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:103939417a6f3c6e8e2e27b06517206374ea6d1dc91d568bc7ed41890d0a60c5","observation_id":"3c643756-d918-4318-8db4-3e97654990cf","resolution":{"observed_at":"2026-08-01T13:52:28.664048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.667928Z","title":"Beyondamilliontokens: Benchmarkingandenhancinglong-termmemoryinLLMs","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.667928Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:2cc86cd550e8c41ea1efbc8d46c2c00455024f9440e66e10567d55b33cf0d3ac","observation_id":"481f95bf-12ef-45c4-b546-2808d072c330","resolution":{"observed_at":"2026-08-01T13:52:28.667928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.20006","last_updated":"2026-04-21T21:31:01Z","snapshot_observed_at":"2026-07-06T23:06:31.110859Z","submitted_at":"2026-04-21T21:31:01Z","title":"From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.20006","snapshot_observed_at":"2026-08-01T13:52:28.671060Z","title":"From recall to forgetting: Benchmarking long-term memory for personalized agents.arXiv preprint arXiv:2604.20006, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.671060Z"},"links":{"cited_paper":"/paper/2604.20006","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:ce1fc2b71537537d11cbcfd7cb7a659e7c0eed6da1d7ff398d173d06cd6ff107","observation_id":"9a8c3712-68c8-4f8c-aa39-bf60410d67e4","resolution":{"observed_at":"2026-08-01T13:52:28.671060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.04853","last_updated":"2026-04-06T16:57:06Z","snapshot_observed_at":"2026-08-06T00:28:02.697922Z","submitted_at":"2026-04-06T16:57:06Z","title":"MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.04853","snapshot_observed_at":"2026-08-01T13:52:28.675073Z","title":"MemMachine: A ground-truth-preserving memory system for personalized AI agents.arXiv preprint arXiv:2604.04853, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.675073Z"},"links":{"cited_paper":"/paper/2604.04853","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:3f063479c9fb36b7b990dcd1ffa6a96707cc53fab6f58a8d5a87f6cbbd60dbd7","observation_id":"adb3b712-298f-4d7c-a9d1-a9c909f6c729","resolution":{"observed_at":"2026-08-01T13:52:28.675073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10813","last_updated":"2025-03-04T22:19:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-14T17:59:44Z","title":"LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10813","snapshot_observed_at":"2026-08-01T13:52:28.678500Z","title":"LongMemEval: Benchmark- ing chat assistants on long-term interactive memory","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.678500Z"},"links":{"cited_paper":"/paper/2410.10813","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:59de7ad42501d5ba9133f46919a61e8495c83f55524836958c4165c47ef01bb0","observation_id":"1564f46a-d6c1-4e6f-83d4-d56115bca07c","resolution":{"observed_at":"2026-08-01T13:52:28.678500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.12493","last_updated":"2026-05-12T17:59:34Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:59:34Z","title":"LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.12493","snapshot_observed_at":"2026-08-01T13:52:28.682434Z","title":"LongMemEval- V2: Evaluating long-term agent memory toward experienced colleagues.arXiv preprint arXiv:2605.12493, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.682434Z"},"links":{"cited_paper":"/paper/2605.12493","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:5af25d1ddcc030e8a7ead0f30fffa5b790eff519032c538b8b69dded04578167","observation_id":"3861dfac-7efc-47a7-9ef6-30c799f10a29","resolution":{"observed_at":"2026-08-01T13:52:28.682434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00031","last_updated":"2026-07-24T20:05:06Z","snapshot_observed_at":"2026-08-03T22:10:35.838108Z","submitted_at":"2025-07-30T08:01:45Z","title":"Git Context Controller: Manage the Context of LLM-based Agents like Git","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00031","snapshot_observed_at":"2026-08-01T13:52:28.685721Z","title":"Git context controller: Manage the context of LLM-based agents like Git.arXiv preprint arXiv:2508.00031, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.685721Z"},"links":{"cited_paper":"/paper/2508.00031","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:2a8e2bd12a0685ab10a1f769fcb11a69c6806f163b9ef9a52ccf1c8208dea35c","observation_id":"e01292d7-23ec-44ed-b635-0bc1e7f4aa68","resolution":{"observed_at":"2026-08-01T13:52:28.685721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.03315","last_updated":"2026-07-02T10:11:44Z","snapshot_observed_at":"2026-08-03T05:06:56.277805Z","submitted_at":"2026-02-03T09:44:43Z","title":"Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.03315","snapshot_observed_at":"2026-08-01T13:52:28.689655Z","title":"Memora: A harmonic memory representation balancing abstraction and specificity.arXiv preprint arXiv:2602.03315, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.689655Z"},"links":{"cited_paper":"/paper/2602.03315","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:1d420c3974df7b1fc6ab5246a708d526b226229690baf804d8e28470070ae768","observation_id":"faf34f07-10f6-42e2-a197-008e91075033","resolution":{"observed_at":"2026-08-01T13:52:28.689655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.13681","last_updated":"2026-06-17T04:10:52Z","snapshot_observed_at":"2026-07-06T23:52:23.981568Z","submitted_at":"2026-06-11T17:59:59Z","title":"EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.13681","snapshot_observed_at":"2026-08-01T13:52:28.692972Z","title":"EvoArena: Tracking memory evolution for robust LLM agents in dynamic environments.arXiv preprint arXiv:2606.13681, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.692972Z"},"links":{"cited_paper":"/paper/2606.13681","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:77722e9f8c64184368c2e481d81755b3917a6d24fc7860f2be3146f5f172743b","observation_id":"fe28e31e-e60f-459f-91d8-a6e7cfae7a8f","resolution":{"observed_at":"2026-08-01T13:52:28.692972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.19828","last_updated":"2026-01-14T14:21:21Z","snapshot_observed_at":"2026-07-06T22:19:28.487854Z","submitted_at":"2025-08-27T12:26:55Z","title":"Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.19828","snapshot_observed_at":"2026-08-01T13:52:28.696381Z","title":"Pan, Hinrich Schütze, Volker Tresp, and Yunpu Ma","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.696381Z"},"links":{"cited_paper":"/paper/2508.19828","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:b3ce92f6541386058b0d6396707b6f09d49095e11e3d3e58291120d762baeb66","observation_id":"076370e5-aef2-4b1e-9fdd-bef4969fa61b","resolution":{"observed_at":"2026-08-01T13:52:28.696381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.699668Z","title":"Data-centric artificial intelligence: A survey.ACM Computing Surveys, 57(5):1–42, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.699668Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:aadc62ae504a53fb963b1605409eb8e5e10047259a4fd998871ecd8f7ebbf7de","observation_id":"0ee2e8d0-0204-473f-82b2-0eac264a9d8a","resolution":{"observed_at":"2026-08-01T13:52:28.699668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.02474","last_updated":"2026-05-24T19:01:09Z","snapshot_observed_at":"2026-08-03T05:25:38.558727Z","submitted_at":"2026-02-02T18:53:28Z","title":"MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.02474","snapshot_observed_at":"2026-08-01T13:52:28.703023Z","title":"MemSkill: Learning and evolving memory skills for self-evolving agents.arXiv preprint arXiv:2602.02474, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.703023Z"},"links":{"cited_paper":"/paper/2602.02474","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:517b69763bc021757bdbcc2cd1b049957c480b769eea72335f7a27b4e3c0dff4","observation_id":"1a893573-91ec-497e-81f3-5f39a3f69caf","resolution":{"observed_at":"2026-08-01T13:52:28.703023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.06054","last_updated":"2026-06-04T11:54:29Z","snapshot_observed_at":"2026-07-06T23:45:56.266116Z","submitted_at":"2026-06-04T11:54:29Z","title":"Beyond Similarity: Trustworthy Memory Search for Personal AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.06054","snapshot_observed_at":"2026-08-01T13:52:28.706243Z","title":"Beyond similarity: Trustworthy memory search for personal AI agents.arXiv preprint arXiv:2606.06054, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.706243Z"},"links":{"cited_paper":"/paper/2606.06054","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:48899dea67db0da96ecd4a3c385d7e45bcaa4f1c6c1a6e0ac77cc26a908a1d67","observation_id":"3751cbb9-cf04-493c-8535-33bc7a09a285","resolution":{"observed_at":"2026-08-01T13:52:28.706243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.08224","last_updated":"2026-04-09T13:19:41Z","snapshot_observed_at":"2026-08-02T22:56:00.067549Z","submitted_at":"2026-04-09T13:19:41Z","title":"Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.08224","snapshot_observed_at":"2026-08-01T13:52:28.709733Z","title":"Externalization in LLM agents: A unified review of memory, skills, protocols and harness engineering.arXiv preprint arXiv:2604.08224, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.709733Z"},"links":{"cited_paper":"/paper/2604.08224","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:4957f58bed5860406e6d3325de2406d2837648b1e764afcb5481657693996da7","observation_id":"92866924-a7e5-486a-8d53-904df330d662","resolution":{"observed_at":"2026-08-01T13:52:28.709733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.16153","last_updated":"2025-08-25T13:32:12Z","snapshot_observed_at":"2026-08-05T17:29:43.755625Z","submitted_at":"2025-08-22T07:25:30Z","title":"Memento: Fine-tuning LLM Agents without Fine-tuning LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.16153","snapshot_observed_at":"2026-08-01T13:52:28.713121Z","title":"Memento: Fine-tuning LLM agents without fine-tuning LLMs.arXiv preprint arXiv:2508.16153, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.713121Z"},"links":{"cited_paper":"/paper/2508.16153","citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:cddd1f2e1d2094b7631ebd0a7c5ea28913ab70441b22d879cc8e2cd39a6ed23f","observation_id":"88d8fbbb-bced-43e1-a504-641f056d9d48","resolution":{"observed_at":"2026-08-01T13:52:28.713121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.717618Z","title":"Amy's colleague Rob","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.717618Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:f0d3f017a30c1f917cd8beb146b35b8d50cf47e2a0ad5b9a55aa36d4e44558cb","observation_id":"b534b3da-3773-4c15-9e6a-e286f4324027","resolution":{"observed_at":"2026-08-01T13:52:28.717618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.721146Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.721146Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:fb0b21b254182c74c39954c1c61aac3d0dac4fe17f96d307e692a80cbbc212c9","observation_id":"8eb4c521-5af6-473f-974d-f2856607b2ea","resolution":{"observed_at":"2026-08-01T13:52:28.721146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.724370Z","title":"every Tuesday and Thursday","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.724370Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:f16cecd0735548159eb82dcb00b4cb513e69e36625e7c0cf7c07c1fdcd2f7bd6","observation_id":"9019430b-7801-48e8-aeb2-873ace26dd92","resolution":{"observed_at":"2026-08-01T13:52:28.724370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.727803Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.727803Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:6d0c479dcb9ca0e85aae543a1a42f675fa8f466ffaa852e8f14f98a9ec8d4022","observation_id":"db3c7699-17f3-428e-ab15-643ef7fb5eaf","resolution":{"observed_at":"2026-08-01T13:52:28.727803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T13:52:28.731151Z","title":"they/we/together","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T13:52:28.731151Z"},"links":{"citing_paper":"/paper/2607.18975"},"observation_digest":"sha256:f99029ba705765300e71fd57c8b6fe08961b690cc6905b5fab6d38e2894ba5c3","observation_id":"0380aeed-f875-493a-a655-28d56f6d558d","resolution":{"observed_at":"2026-08-01T13:52:28.731151Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.18975","last_updated":"2026-07-21T11:10:38Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-05T13:27:48.313796Z","submitted_at":"2026-07-21T11:10:38Z","title":"Mi-Memory: A Lifecycle Memory Framework for Personal AI"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":49,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":50},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.18975."}